What Is Logit Model. This is also known as the code. The logit model was initially dismissed as inferior to the probit model but gradually achieved an equal footing with the logit particularly between 1960 and 1970.
So logitP or probitP both have linear relationships with the Xs. LOGIT MODELS FOR BINARY DATA predicted values will be in the correct range unless complex restrictions are imposed on the coecients. Use the logit or probit model.
Thats why you get coefficients on the scale of the link function that could be interpreted just like linear regression coefficients.
The logit function is the natural log of the odds that Y equals one of the categories. Y1 log of odds this is logit function. Logit Function This is called the logit function logitY logOY logy1-y Why would we want to do this. Since logistic regression is not linear regression so we take - ln π1-π where π is the probability of success in binary variable ie.
